Grade Identification of Tieguanyin Tea Using Fluorescence Hyperspectra and Different Statistical Algorithms-Reference-Cited by-同舟云学术

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Grade Identification of Tieguanyin Tea Using Fluorescence Hyperspectra and Different Statistical Algorithms

Published:2019-07-17 Issue:8 Volume:84 Page:2234-2241
ISSN:0022-1147
Container-title:Journal of Food Science
language:en
Short-container-title:Journal of Food Science

Author:

Li Yating¹^ORCID,Sun Jun¹,Wu Xiaohong¹,Lu Bing¹,Wu Minmin¹,Dai Chunxia¹

Affiliation:

1. School of Electrical and Information Engineering of Jiangsu Univ. Zhenjiang 212013 China

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Six Talent Peaks Project in Jiangsu Province

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1750-3841.14706

Reference28 articles.

1. Classification of different varieties of Oolong tea using novel artificial sensing tools and data fusion

2. Recent developments of green analytical techniques in analysis of tea's quality and nutrition

3. Application of a hybrid variable selection method for the classification of rapeseed oils based on 1H NMR spectral analysis

4. Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review

5. A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling

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4. Deoxynivalenol Detection beyond the Limit in Wheat Flour Based on the Fluorescence Hyperspectral Imaging Technique;Foods;2024-03-15

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